metadata
base_model: Ransaka/sinhala-ocr-model
tags:
- generated_from_trainer
model-index:
- name: sinhala-ocr-model-v2
results: []
sinhala-ocr-model-v2
This model is a fine-tuned version of Ransaka/sinhala-ocr-model on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 6.2306
- Cer: 0.5161
Model description
More information needed
Intended uses & limitations
More information needed
Training and evaluation data
More information needed
Training procedure
Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 8e-05
- train_batch_size: 4
- eval_batch_size: 4
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 8
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- training_steps: 6000
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Cer |
|---|---|---|---|---|
| 4.543 | 3.27 | 500 | 6.2682 | 0.7086 |
| 2.6146 | 6.54 | 1000 | 5.8348 | 0.6390 |
| 1.8448 | 9.8 | 1500 | 5.8076 | 0.6166 |
| 1.3887 | 13.07 | 2000 | 6.0250 | 0.6072 |
| 1.0271 | 16.34 | 2500 | 5.9971 | 0.5707 |
| 0.8891 | 19.61 | 3000 | 5.9803 | 0.5630 |
| 0.6548 | 22.88 | 3500 | 6.0045 | 0.5542 |
| 0.4939 | 26.14 | 4000 | 6.0223 | 0.5354 |
| 0.322 | 29.41 | 4500 | 6.1360 | 0.5233 |
| 0.2459 | 32.68 | 5000 | 6.1166 | 0.5220 |
| 0.123 | 35.95 | 5500 | 6.1740 | 0.5162 |
| 0.1575 | 39.22 | 6000 | 6.2306 | 0.5161 |
Framework versions
- Transformers 4.35.2
- Pytorch 2.0.0
- Datasets 2.16.0
- Tokenizers 0.15.0